Data Analyst at Paysafe (Hybrid, London) Paysafe is seeking a highly skilled Data Analyst to join their London-based team, with the flexibility of hybrid work. This role offers an exciting opportunity to leverage your excellent eye for detail and strong statistical knowledge in a dynamic environment.
The ideal candidate will have 2+ years’ experience in a similar data analytics role, with a proven ability to analyse complex datasets, generate actionable insights, and contribute to data-driven decision-making. You will play a key role in optimising processes, supporting business objectives, and delivering high-quality analytical reports.
If you have a passion for data and a commitment to accuracy, this is a perfect opportunity to grow your career with a global leader in payments and financial technology.
About Paysafe Paysafe Limited (“Paysafe”) (NYSE: PSFE) (PSFE.WS) is a leading payments platform with extensive experience serving merchants and consumers worldwide. Its core purpose is to enable seamless transactions through payment processing, digital wallets, and online cash solutions. With over 20 years in online payments, a transactional volume of $140 billion in 2023, and approximately 3,200 employees across 12+ countries, Paysafe connects businesses and consumers through 260 payment types in over 40 currencies. Our solutions focus on mobile transactions, real-time analytics, and integrating online and offline payments. More information is available atwww.paysafe.com.
Position: Data Analyst
Job Type: Full-Time
Location: London, Hybrid
About the Role This role is part of the Marketing Analytics & Strategic Projects team, led by the Chief Data & Analytics Officer. You will analyze marketing activities related to our Consumer products, including Digital Wallets and eCash solutions, focusing on understanding consumer behavior and influencing strategic decisions. Key stakeholders include the Directors of Consumer Marketing, Global Digital Channels, and Marketing Automation & Technology. You will identify new opportunities, optimize campaigns, and provide actionable insights.
You will become an expert in Consumer Marketing and Product data, collaborating with Data Engineering to ensure data quality and pipelines. Additionally, you will contribute to strategic projects involving C-Level stakeholders, broadening your experience and visibility.
You will own projects, contribute to the strategy, and develop creative solutions, seeking support from your manager when needed.
Our Values Being open and honest
Keeping focused
Operating with courage
Pioneering the future
Our culture emphasizes Equality, Development, Social Responsibility, and Wellbeing. Learn more about life at Paysafe on our careers page.
Working Style We follow a hybrid model, spending about three days per week in our Gresham Street office, located near St Paul’s Cathedral with excellent transport links.
The Impact You Will Have Conduct deep analysis of consumer behavior to identify patterns and trends, providing strategic recommendations.
Apply structured problem solving to break down ambiguous problems.
Evaluate marketing campaigns using advanced statistical methods like hypothesis testing and causal inference.
Create self-serve dashboards and data products to support marketing initiatives.
Collaborate with Data Engineering to ensure data quality and documentation.
Communicate insights effectively to technical and non-technical stakeholders.
Depending on your skills, incorporate machine learning techniques, such as predictive lifetime value modeling, into your analyses or work with Data Scientists.
What We’re Looking For 2+ years’ experience in a data analytics role.
Degree in Mathematics, Economics, or relevant experience.
Strong statistical knowledge (causal inference, hypothesis testing).
Advanced SQL skills.
Experience with BI tools like Power BI or similar.
Problem-solving ability and storytelling skills with data.
Attention to detail and objectivity.
Proactive attitude, teamwork, eagerness to learn.
Nice to Haves:
Knowledge of payments, e-commerce, or gambling sectors.
Experience with Snowflake and/or AWS Sagemaker.
Experience with predictive modeling and machine learning techniques.
Benefits Flexible working hours.
Option to buy or sell holidays, carry over up to 5 days.
Social events, rooftop terrace views, and modern facilities.
Free breakfast, snacks, wellbeing room, and family policies.
Product testing bonuses (£50 in Skrill and Neteller wallets).
Discounts on memberships and technology support.
Join our diversity-focused communities and contribute to an inclusive workplace. Participate in charity days, enjoy summer hours, and benefit from private health, dental, income protection, and life insurance.
Next Steps Phone screen with Talent Acquisition.
Video interview with the Hiring Manager.
Team interview.
Final HR interview in person.
If successful, meet our CEO at a new joiners breakfast—a great networking opportunity.
Paysafe is an equal opportunity employer, committed to diversity and mutual respect regardless of background or characteristics.
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